AI-Powered Todoist Task Management Agent - n8n Workflow

Use this advanced n8n workflow to manage Todoist tasks, projects, and labels using natural language via GPT-4o. A powerful n8n template for task automation and agent orchestration.

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Who is this best for?

Users looking for advanced task automation using natural language.
Technical users wanting to learn how to build complex AI agents within n8n.
Professionals who rely on Todoist and wish to integrate it with chat applications (Slack, Telegram, etc.) using a conversational interface.
Developers seeking reliable, enterprise-grade n8n templates for project management.

Overview

The challenge of manually logging, updating, and managing tasks across various projects is fully automated by this sophisticated n8n workflow. This n8n template transforms conversational text (e.g., 'Remind me to call the client tomorrow at 10 AM') into precise Todoist commands—whether creating a task, updating a due date, or archiving a project. This ultimate n8n node setup leverages OpenAI’s GPT-4o to act as a highly capable personal assistant, making task management effortless. The powerful orchestration logic demonstrates the full potential of the LangChain n8n node suite for building robust, context-aware automation agents. This is an essential n8n workflow for maximizing productivity.

How it Works

This high-level n8n workflow operates using a specialized multi-agent architecture.


  1. Trigger and Input: The process begins with an n8n trigger, either the 'When chat message received' LangChain Chat Trigger (for immediate chat integration) or the 'When Executed by Another Workflow' n8n node (allowing it to be called as an internal microservice).

  2. Orchestration: The initial request is handled by the Orchestrator n8n node, an AI Agent that uses an OpenAI LLM (OpenAI Chat Model1) and the Simple Memory n8n node to maintain conversation history.

  3. Tool Delegation: The Orchestrator delegates the actual task management work to its primary tool, the Call Todoist Agent n8n node. This tool calls the core logic of the current n8n workflow.

  4. Todoist Agent Execution: The core agent, labeled Todoist Agent, receives the query. This specialized n8n node has a detailed system prompt (based on GPT-4o) instructing it to analyze the request and select the single best action from its toolset.

  5. Tool Execution (25+ Tools): The agent decides which underlying Todoist n8n node to execute (e.g., Create a Task, Update a Project, Get All Labels). This comprehensive collection of tools allows the agent to handle almost any command.

  6. Confirmation: The Todoist n8n node executes the action and returns a concise, user-facing confirmation or error message, adhering to the Agent's strict instructions not to expose internal IDs or raw JSON responses. This final message is passed back up the chain to the initial n8n trigger source, completing the conversational loop.

Installation Guide

To start using this powerful n8n template, follow these steps:


  1. Import Workflow: Import the provided JSON file into your n8n instance.

  2. OpenAI Credential Setup: Locate the OpenAI Chat Model and OpenAI Chat Model1 n8n node instances. You will need a valid OpenAI API key to run GPT-4o. Create or select an existing n8n OpenAI credential.

  3. Todoist Credential Setup: Every Todoist n8n node in the flow requires OAuth2 credentials. Set up a new Todoist OAuth2 credential within n8n. You will be prompted to log into your Todoist account to authorize n8n to manage your tasks, projects, and labels.

  4. Testing: Use the 'When chat message received' n8n trigger to send a test message, such as 'Add grocery shopping to my list for tomorrow morning.'

  5. Activation: Once testing is successful, activate the n8n workflow to begin automation.

Node Details

This complex n8n workflow relies heavily on the LangChain suite and numerous dedicated n8n nodes for Todoist operations:

When chat message received (n8n trigger): The entry point for the conversational agent, listening for user input from integrated chat platforms.
Orchestrator (AI Agent n8n node): The primary brain that receives the initial chat input, manages context using Simple Memory, and decides to call the dedicated Todoist agent tool.
OpenAI Chat Model / OpenAI Chat Model1 (LLM n8n node): Used by both the Orchestrator and the Todoist Agent. Configured to use chatgpt-4o-latest for optimal speed and reasoning capability within this complex n8n workflow.
Call Todoist Agent (Workflow Tool n8n node): Exposes the inner Todoist Agent logic as a callable tool for the Orchestrator, standardizing the agent communication.
Todoist Agent (AI Agent n8n node): The specialized agent dedicated solely to task management. Its sophisticated system message guides it to interpret natural language into precise actions, using tools like Create a Task and Mark Task as Done.
Todoist Tools (Todoist n8n nodes & HTTP Request n8n nodes): A vast array of 25 distinct tool nodes configured to handle CRUD operations on Tasks, Projects, Sections, Labels, and Comments via the Todoist API. Each n8n node acts as a specific function the AI can invoke, ensuring detailed control and execution.

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Nodes: 9 Nodes
Updated: December 26 2025
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